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Heat Exchanger Network Optimization Based on the Participatory Evolution Strategy for Streams

Author

Listed:
  • Jiaxing Chen

    (School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Guomin Cui

    (School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Mei Cao

    (School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Heri Kayange

    (School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Jian Li

    (School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)

Abstract

The non-structural model of a heat exchanger network randomly selects a position of a node on hot and cold streams to generate a heat exchanger and an existing heat exchanger to participate in the evolution. Despite the model being more random and flexible, this selection method cannot easily find a good solution. In addition, the heat exchangers participating in the evolution might not be involved in all streams in each evolutionary process. A stream that does not participate in the evolution will have no significance to the current iteration. Therefore, many iterations are required to make each stream participate in the evolution, which limits the evolution efficiency of the optimization algorithm. In view of this shortcoming, this study proposes a participatory evolutionary strategy for streams based on hot streams. The proposed strategy reorders the existing heat exchangers on hot and cold streams and takes the corresponding measures to ensure that a heat exchanger is selected for each stream to participate in the evolution in every cycle. The proposed participatory evolutionary strategy for streams improves the global optimal solution for designs based on non-structural models. The effectiveness of the proposed strategy is demonstrated in two cases.

Suggested Citation

  • Jiaxing Chen & Guomin Cui & Mei Cao & Heri Kayange & Jian Li, 2021. "Heat Exchanger Network Optimization Based on the Participatory Evolution Strategy for Streams," Energies, MDPI, vol. 14(24), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8392-:d:701107
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    References listed on IDEAS

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    1. Aguitoni, Maria Claudia & Pavão, Leandro Vitor & Antonio da Silva Sá Ravagnani, Mauro, 2019. "Heat exchanger network synthesis combining Simulated Annealing and Differential Evolution," Energy, Elsevier, vol. 181(C), pages 654-664.
    2. P. Tseng & S. Yun, 2009. "Block-Coordinate Gradient Descent Method for Linearly Constrained Nonsmooth Separable Optimization," Journal of Optimization Theory and Applications, Springer, vol. 140(3), pages 513-535, March.
    3. Bao, Zhongkai & Cui, Guoming & Chen, Jiaxing & Sun, Tao & Xiao, Yuan, 2018. "A novel random walk algorithm with compulsive evolution combined with an optimum-protection strategy for heat exchanger network synthesis," Energy, Elsevier, vol. 152(C), pages 694-708.
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